Evolutionary Feature Space Transformation

By H. Vafaie, Kenneth De Jong. 1998

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Jörg Kurt Wegner
2. Xin He
3. Andreas Zell
4. Kaiyong Zhao
5. Xiaowen Chu
6. Holger Fröhlich
7. Alex Alves Freitas
8. Cynthia Rudin

Citations in the corpus

• AutoML: A Survey of the State-of-the-Art (2019, methodology): “In terms of searching, algorithms such as decision tree-based methods [86, 85] and genetic algorithms [87] require a pre-defined operation space, while annotation-based approaches do not, as the latter use domain knowledge (in”
• A survey of evolutionary algorithms for data mining and knowledge discovery (2003, background): “A hybrid GA/GP system, performing attribute selection and attribute construction at the same time, is discussed in [64].”
• Towards Optimal Descriptor Subset Selection with Support Vector Machines in Classification and Regression (2004, methodology): “Often used heuristics are backward elimination and forward selection [2] [10] [16], but also stochastic search methods like Genetic Algorithms [8] [22] [24] [27] [28].”